Professional Machine Learning Engineer

By Google · Question Mode

QuestionQ19

Scaling prototypes into ML models

You work for an ecommerce startup and must create a customer-churn prediction model. Your company’s latest sales records are stored in a BigQuery table. You want to understand how the initial model makes its predictions, and you want to iterate on the model as rapidly as possible while keeping costs low. How should you build your first model?

Explanation

An AutoML tabular classification job can use the BigQuery table as its data source, automate feature engineering and model selection, and provide feature-attribution explanations. This creates an initial churn classifier with minimal custom training code or data movement, enabling rapid iteration while avoiding the overhead of building and operating a custom deep neural network.

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